scholarly journals Recycling of plastic waste in the 3D printing process with the potential for stem production, mobile part of the facial protector: Literature review

2020 ◽  
Vol 7 (11) ◽  
pp. 319-325
Author(s):  
Rosangela Rocha de Oliveira ◽  
Fabiana Rocha Pinto
Keyword(s):  
3D Printing ◽  
Literature Review ◽  
Plastic Waste ◽  
Printing Process ◽  
Mobile Part ◽  
Stem Production

Influence of Constructive and Technological Parameters at Generated Spiral Parts with DLP 3D Printing Process

2019 ◽  
Vol 56 (4) ◽  
pp. 801-811
Author(s):  
Mircea Dorin Vasilescu
Keyword(s):  
3D Printing ◽  
Great Influence ◽  
Polymerization Process ◽  
Generation Process ◽  
Technological Parameters ◽  
Printing Process ◽  
The Third ◽  
Solid Models ◽  
Specific Factors ◽  
Printing Processes

This work are made for determine the possibility of generating the specific parts of a threaded assembly. If aspects of CAD generating specific elements was analysed over time in several works, the technological aspects of making components by printing processes 3D through optical polymerization process is less studied. Generating the threaded appeared as a necessity for the reconditioning technology or made components of the processing machines. To determine the technological aspects of 3D printing are arranged to achieve specific factors of the technological process, but also from the specific elements of a trapezoidal thread or spiral for translate granular material in supply process are determined experimentally. In the first part analyses the constructive generation process of a spiral element. In the second part are identified the specific aspects that can generation influence on the process of realization by 3D DLP printing of the two studied elements. The third part is affected to printing and determining the dimensions of the analysed components. We will determine the specific value that can influence the process of making them in rapport with printing process. The last part is affected by the conclusions. It can be noticed that both the orientation and the precision of generating solid models have a great influence on the made parts.

Effect of silane coupling on the properties of polylactic acid/barium ferrite magnetic composite filament for the 3D printing process

2021 ◽  
pp. 50965
Author(s):  
Kankavee Sukthavorn ◽  
Natkritta Phengphon ◽  
Nollapan Nootsuwan ◽  
Pongsakorn Jantaratana ◽  
Chatchai Veranitisagul ◽  
...  
Keyword(s):  
3D Printing ◽  
Polylactic Acid ◽  
Barium Ferrite ◽  
Magnetic Composite ◽  
Printing Process ◽  
Silane Coupling ◽  
Composite Filament

A hybrid multi-objective optimization of 3D printing process parameters using genetic algorithm

2021 ◽  
Author(s):  
Zahoor Ahmed Shariff ◽  
Lokesh M. ◽  
K. Mayandi ◽  
A. K. Saravanan ◽  
P. Sethu Ramalingam ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
3D Printing ◽  
Process Parameters ◽  
Multi Objective Optimization ◽  
Printing Process ◽  
Multi Objective

Hochproduktiver fertigungsangepasster 3D-Druck/Productive and manufacturing adjusted 3D printing

2017 ◽  
Vol 107 (07-08) ◽  
pp. 520-523
Author(s):  
J. Prof. Bliedtner ◽  
M. Schilling
Keyword(s):  
3D Printing ◽  
Research And Development ◽  
Fused Deposition Modeling ◽  
Dynamic Properties ◽  
Development Project ◽  
Efficient Production ◽  
Large Format ◽  
Printing Process ◽  
Fused Deposition ◽  
Deposition Modeling

Das FDM (Fused Deposition Modeling)-Verfahren ist aufgrund der Vielzahl von industriellen und privaten Anwendungen gegenwärtig das erfolgreichste 3D-Druck-Verfahren. Ziel des Forschungs- und Entwicklungsprojektes „HP3D“ ist die effiziente Herstellung von großformatigen Bauteilen in einem echten 3D-Verfahren aus frei wählbaren thermoplastischen Kunststoffen. An die Umsetzung des Projekts wurde sehr komplex herangegangen, um zu garantieren, dass die mechanischen und dynamischen Eigenschaften der aufgebauten Teile den konzipierten Eigenschaften entsprechen.   The FDM process is currently the most successful 3D printing process due to the multitude of industrial and private applications. The aim of the research and development project HP3D is the efficient production of large-format components in a real 3D process made of freely selectable thermoplastics. The implementation of the project has been very complex in order to ensure that the mechanical and dynamic properties of the assembled parts correspond to the designed properties.

3D Freeze Printing: Development of an Experimental Setup and Determination of 3D Printing Parameters

2020 ◽  
Author(s):  
Halil Tetik ◽  
Dong Lin
Keyword(s):  
3D Printing ◽  
Low Temperature ◽  
Temperature Gradient ◽  
Freeze Casting ◽  
Printing Process ◽  
Print Head ◽  
Freezing Temperatures ◽  
Fabrication Parameters ◽  
Printing Parameters

Abstract 3D freeze printing is a hybrid manufacturing method composed of freeze casting and inkjet-based printing. It is a facile method to fabricate lightweight, porous, and functional structures. Freeze casting is a well-known method for fabricating porous bodies and is capable of manipulating the micro-structure of the resulting product. Freeze casting simply involves solidification of a liquid suspension using low temperature and sublimation of the solvent using low temperature and pressure. After the sublimation of the solvent crystals, we obtain a porous structure where the pores are a replica of solvent crystal. Making use of the temperature gradient, as seen in unidirectional and bidirectional freeze casting, during the solidification with low temperature values, the solvent crystals grow along the temperature gradient. Furthermore, by manipulating the freezing kinetics during solidification, we can have a control on the average pore size distribution. For instance, when lower freezing temperatures result in finer pores with higher amount, higher freezing temperatures result in coarser pores with less amount. Also, the use of some additives inside the suspension leads to changes in the morphology of the solvent crystals as well as the resulting pores. However, the macro-structure of the fabricated body is highly dependent on the mold used during the process. In order to eliminate the dependency on the mold during the freeze casting process, our group recently combined this technique with inkjet-based 3D printing. With inkjet-based 3D printing, we fabricated uniform lines from single droplets, and complex 3D shapes from the lines. This provided us the ability of tailoring the macro structure of the final product without any dependency on a mold as seen in freeze casting. As a result of the 3D freeze printing process, we achieved fabricating lightweight, porous, and functional bodies with engineered micro and macro-structures. However, achieving fine droplets, and uniform lines by merging the droplets requires a good combination of fabrication parameters such as pressure adjustment inside the print head, print head speed, jetting frequency. Also, fabricating complex shapes from uniform lines requires well-adjusted parameters such as line thickness and layer height. In this study, we briefly explained the mechanics of the 3D freeze printing process. Following that we presented the development process of an open-source inkjet-based 3D printer. Finally, we explained the determination of inkjet dispensing and 3D printing parameters required for a high-quality 3D printing. During our experiments for the determination of fabrication parameters, we used a nanocellulose crystals-based ink due to its low cost and ease of preparation.

Diagnostics of the 3D printing process on a CNC machine using machine learning approaches

2021 ◽  
pp. 55-59
Author(s):  
Yu.G. Kabaldin ◽  
D.A. Shatagin ◽  
M.S. Anosov ◽  
P.V. Kolchin ◽  
A.V. Kiselev
Keyword(s):  
Nonlinear Dynamics ◽  
Machine Learning ◽  
3D Printing ◽  
Electric Arc ◽  
Cyber Physical System ◽  
Learning Approaches ◽  
Cnc Machine ◽  
Printing Process ◽  
Optimization Of Process Parameters ◽  
The Stability

Diagnostics and optimization of the dynamics of an electric arc during 3D printing on a CNC machine are considered. The application of nonlinear dynamics methods in assessing the stability of the 3D printing process and the use of artificial neural networks in the classification and optimization of process parameters are shown. Keywords: 3D printing, cyber physical system, machine learning, hybrid processing, neuroform controller, diagnostics, digital twin. [email protected]

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